AUTOMATIC SKELETAL BONE AGE ASSESSMENT: STATE OF THE ART AND FUTURE DIRECTIONS

Isaak Kavasidis, Carmelo Pino

Keywords

Skeletal bone assessment, radiology, image processingROI processing.

Abstract

Determining the skeletal bone age is necessary in a variety of fields, ranging from pediatric radiology and endocrinology to crime investigation. Indeed, assess- ing the skeletal bone age is useful in situations like when developmental delays are present, in order to search for an organic cause, or when human age must be identified and no other evidence exists. One of the most used clinical methods to assess bone is the TW2 approach that, because of its modular nature, can be easily automated by image processing techniques. In the literature, many machine-vision based approaches have been proposed supporting the automation of the TW2 method; however there is still room for improve- ment since the achieved results are not completely satisfactory. This paper aims at reviewing these au- tomatic methods, highlighting their peculiarities and providing future directions.

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